Assistant Professor in Machine Learning

VU University of Amsterdam Department of Computer Science

Netherlands

Are you an experienced researcher in machine learning, and do you want to contribute to shaping the future of data science techniques and applications with an eye on society? Then Vrije Universiteit Amsterdam would like to get to know you. 

Location: AMSTERDAM

FTE: 0.8 - 1

Job description

We are looking for a new assistant professor who will collaboratively contribute to research and teaching in the area of machine learning (ML). The position is embedded in the Quantitative Data Analytics group. The group focuses on both fundamental and application-driven research in ML. We are looking for candidates with experience in the area of machine learning, with a special preference for those having expertise in one or more of the following areas: data-efficient ML methods, explainability of ML methods, and the utilization of domain knowledge in ML. We are interested in attracting an active researcher, able to perform ground-breaking research and to apply this research in relevant societal domains, including health-related analytics. On top, the candidate should be passionate about teaching. We also expect that bridges will be built with current research groups in the Department of Computer Science, in the Department of Mathematics, and the broader academic community in Amsterdam (including Amsterdam Medical Data Science, Amsterdam Data Science, the Innovation Center for Artificial Intelligence, and the VU Campus Center for AI & Health).

Your duties

The tenure track position starts at the level of assistant professor in the areas of research, education, and management (40%:40%:20%), and contains the following duties:

  • Performing research in the field of machine learning;
  • Developing new course material for the Bachelor and Master Business Analytics, a joint program with the Department of Mathematics;
  • Supervise  Bachelor, Master, and PhD students;
  • Initiating and contributing to research grant proposals; and
  • Contributing to administrative tasks.

Requirements

We will base our selection on the following components:

  • A PhD degree and post-doc experience in an area relevant to machine learning;
  • An international research profile, demonstrated by publications in relevant journals and conferences;
  • Academic teaching experience, preferably with experience in the supervision of MSc/PhD students;
  • Experience with attracting research funding, either individually or collaboratively.
  • Prior experience within the health domain would be an asset.

What are we offering?

A challenging position in a socially involved organization. On full-time basis the remuneration amounts to a minimum gross monthly salary of €3,746 (scale 11)
and a maximum €5,127 (scale 11), depending on your education and experience. The job profile (UD2): is based on the university job ranking system and is vacant for at least 0.8 FTE.

This is a tenure track position; the initial appointment will be for a period of five years. Based on performance indicators agreed at the start of the appointment, a tenure track position will lead to a tenured position of UD1 in a period of maximally 5 years. In the fifth year of the appointment, the tenure decision will be taken and a midterm review will take place in 2.5 years’ time after the starting date.

Additionally, Vrije Universiteit Amsterdam offers excellent fringe benefits and various schemes and regulations to promote a good work/life balance, such as:

  • a maximum of 41 days of annual leave based on full-time employment,
  • 8% holiday allowance and 8.3% end-of-year bonus,
  • solid pension scheme (ABP),
  • contribution to commuting expenses
  • optional model for designing a personalized benefits package.

About Vrije Universiteit Amsterdam

The ambition of Vrije Universiteit Amsterdam is clear: to contribute to a better world through outstanding education and ground-breaking research. We strive to be a university where personal development and commitment to society play a leading role. A university where people from different disciplines and backgrounds collaborate to achieve innovations and to generate new knowledge. Our teaching and research encompass the entire spectrum of academic endeavour – from the humanities, the social sciences and the natural sciences through to the life sciences and the medical sciences.

Vrije Universiteit Amsterdam is home to more than 26,000 students. We employ over 4,600 individuals. The VU campus is easily accessible and located in the heart of Amsterdam’s Zuidas district, a truly inspiring environment for teaching and research.

Diversity

We are an inclusive university community. Diversity is one of our most important values. We believe that engaging in international activities and welcoming students and staff from a wide variety of backgrounds enhances the quality of our education and research. We are always looking for people who can enrich our world with their own unique perspectives and experiences.

The Faculty of Science

The Faculty of Science inspires researchers and students to find sustainable solutions for complex societal issues. From forest fires to big data, from obesity to medicines and from molecules to the moon: our teaching and research programmes cover the full spectrum of the natural sciences. We share knowledge and experience with leading research institutes and industries, both here in the Netherlands and abroad.

Working at the Faculty of Science means working with students, PhD candidates and researchers, all with a clear focus on their field and a broad view of the world. We employ more than 1,250 staff members, and we are home to around 6,000 students.

About the department, institute, project

The VU Department of Computer Science has approximately 170 members, including 35 tenured staff members and 40-50 PhD students. The tenured staff members form the essential basis for the functioning of the department. A tenured staff member is required to make significant contributions to the research and education programmes, and to spend effort on specific tasks at the department level.

Application

Are you interested in this position? Please apply via the application button and upload your curriculum vitae and cover letter until 30 April 2021. 

Applications received by e-mail will not be processed.

Vacancy questions

If you have any questions regarding this vacancy, you may contact:

Name: Mark Hoogendoorn
Position: Professor of Artificial Intelligence / Chair Quantitative Data Analytics Group
E-mail: m.hoogendoorn@vu.nl

Relocation support

If you have any questions regarding moving to Amsterdam, and working at VU Amsterdam, you may contact:
 
Name:                 Wytske Siegersma
Position:              Relocation Advisor
E-mail:                relocations@vu.nl
Telephone:          +31 (20) 59 85037

No agencies


In your application, please refer to Professorpositions.com

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